Regional freight generation and spatial interactions in developing regions using secondary data
Sowjanya Dhulipala and
Gopal R. Patil ()
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Sowjanya Dhulipala: Indian Institute of Technology Bombay
Gopal R. Patil: Indian Institute of Technology Bombay
Transportation, 2023, vol. 50, issue 3, No 2, 773-810
Abstract:
Abstract In this paper, regional freight generation models are developed for twenty industry sectors in a region comprising 101 districts of India using secondary data. We provide insights into investigating spatial dependencies, identifying the type of spatial interactions present, and adopting appropriate spatial models. Non-spatial and spatial regression models are developed, addressing different spatial interactions. The roles of economic, locational, geographical, and transportation infrastructure variables in estimating freight production and addressing spatial autocorrelation are explored. Sectoral employment, an economic variable, is found significant in estimating freight production of 20 sectors considered. Locational, geographical, and transportation infrastructure variables helped to address spatial autocorrelation for some sectors. Spatial analysis showed correlated effects and endogenous spatial interactions with global spillover feedback, suggesting that spatial error and spatial lag models are appropriate. The study framework can help researchers and planners in correcting for spatial autocorrelation while modelling freight generation. The study forms a paradigm of freight generation modelling with the available secondary data in the absence of comprehensive freight databases and systematic modelling frameworks.
Keywords: Freight generation; Regional freight demand model; Linear regression; Spatial autocorrelation; Spatial regression models (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:kap:transp:v:50:y:2023:i:3:d:10.1007_s11116-021-10261-w
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DOI: 10.1007/s11116-021-10261-w
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